Forbes

Enterprise Data Technology Part 5 — Data Quality With Acumatica

Data quality is an essential aspect of any successful enterprise data management strategy. In today’s business environment, it is essential to maintain a high standard of data quality to support ...
SiliconANGLE

Building a business case for continuous data quality assurance

Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...
Forbes

Data Quality For Business: Metrics To Measure And Understand

Zehra Cataltepe is the CEO of TAZI.AI, an adaptive, explainable AI and GenAI platform for business users. She has 100+ AI papers & patents. In many industries, including banking, insurance and ...
Oneindia

Data Validation Methods Build Trust in Enterprise Systems and AI Architectures

Dr Ranjith Gopalan explains how intelligent data validation ensures trust in enterprise systems by automating anomaly ...
Network World

Data quality management – first steps

How should a company begin to put in place a data quality management strategy? First, as with all disciplines, IT executives must assess the current state of data in the enterprise. Once they’ve ...
eWeek

Top 9 Data Quality Software Tools & Solutions To Try

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Business Wire

Monte Carlo Announces New GenAI Capabilities to Streamline Data Quality Management at Enterprise Scale

SAN FRANCISCO--(BUSINESS WIRE)--Monte Carlo, the data and AI observability company, today announced a series of product enhancements and new capabilities at its annual IMPACT Data Observability Summit ...
Computerworld

Talend releases open-source data-profiling application

French open-source data-integration vendor Talend SA today unveiled its data profiling application, which will allow companies to assess their data quality as a key part of data integration projects.
insideHPC

Mastering the Internet of Things with Master Data Management

Modern MDM platforms help users understand IoT data with automated data discovery capabilities predicated on data profiling. Organizations can simply connect to data sources and, courtesy of a ...
Finextra

The damaging impact of poor quality data in the financial services sector

It has been estimated by MITSloan that the cumulative cost of inaccurate data is 15 to 25 per cent of revenue for most organisations. This is because poor quality data wastes resources, undermines ...
Business Wire

Data Quality is Not Being Prioritized on AI Projects, a Trend that 96% of U.S. Data Professionals Say Could Lead to Widespread Crises

PHILADELPHIA--(BUSINESS WIRE)--Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), today released a new survey of 500 professionals working with AI ...